Machine Learning

Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study

Tahsin Mullick, Ana Radovic, Sam Shaaban, Afsaneh Doryab

JMIR Form Res 2022 (Jun 24); 6(6):e35807

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Improving Pain Assessment Using Vital Signs and Pain Medication for Patients With Sickle Cell Disease: Retrospective Study

Swati Padhee, Gary K Nave Jr, Tanvi Banerjee, Daniel M Abrams, Nirmish Shah

JMIR Form Res 2022 (Jun 23); 6(6):e36998

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Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation

Ting Dang, Jing Han, Tong Xia, Dimitris Spathis, Erika Bondareva, Chloë Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, R Andres Floto, Pietro Cicuta, Cecilia Mascolo

J Med Internet Res 2022 (Jun 21); 24(6):e37004

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Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study

Sedigheh Khademi Habibabadi, Pari Delir Haghighi, Frada Burstein, Jim Buttery

JMIR Med Inform 2022 (Jun 16); 10(6):e34305

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Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Hao Yang, Jiaxi Li, Siru Liu, Xiaoling Yang, Jialin Liu

JMIR Med Inform 2022 (Jun 16); 10(6):e36958

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Development and Validation of Population Clusters for Integrating Health and Social Care: Protocol for a Mixed Methods Study in Multiple Long-Term Conditions (Cluster-Artificial Intelligence for Multiple Long-Term Conditions)

Hajira Dambha-Miller, Glenn Simpson, Ralph K Akyea, Hilda Hounkpatin, Leanne Morrison, Jon Gibson, Jonathan Stokes, Nazrul Islam, Adriane Chapman, Beth Stuart, Francesco Zaccardi, Zlatko Zlatev, Karen Jones, Paul Roderick, Michael Boniface, Miriam Santer, Andrew Farmer

JMIR Res Protoc 2022 (Jun 16); 11(6):e34405

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Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning–Based Approach

Donghun Yang, Jimin Kim, Junsang Yoo, Won Chul Cha, Hyojung Paik

JMIR Med Inform 2022 (Jun 15); 10(6):e37689

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Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao

JMIR Med Inform 2022 (Jun 15); 10(6):e36202

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The Distribution of HIV and AIDS Cases in Luzhou, China, From 2011 to 2020: Bayesian Spatiotemporal Analysis

Ningjun Ren, Yuansheng Li, Ruolan Wang, Wenxin Zhang, Run Chen, Ticheng Xiao, Hang Chen, Ailing Li, Song Fan

JMIR Public Health Surveill 2022 (Jun 14); 8(6):e37491

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Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution

François-Xavier Paquette, Amir Ghassemi, Olga Bukhtiyarova, Moustapha Cisse, Natanael Gagnon, Alexia Della Vecchia, Hobivola A Rabearivelo, Youssef Loudiyi

JMIR Med Inform 2022 (Jun 14); 10(6):e34554

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Fairness in Mobile Phone–Based Mental Health Assessment Algorithms: Exploratory Study

Jinkyung Park, Ramanathan Arunachalam, Vincent Silenzio, Vivek K Singh

JMIR Form Res 2022 (Jun 14); 6(6):e34366

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The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study

Yichao Zhang, Sha Lu, Yina Wu, Wensheng Hu, Zhenming Yuan

JMIR Med Inform 2022 (Jun 13); 10(6):e33835

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Machine Learning–Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation

Kuan-Chen Chin, Yu-Chia Cheng, Jen-Tang Sun, Chih-Yen Ou, Chun-Hua Hu, Ming-Chi Tsai, Matthew Huei-Ming Ma, Wen-Chu Chiang, Albert Y Chen

J Med Internet Res 2022 (Jun 10); 24(6):e30210

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Prevalence of Sensitive Terms in Clinical Notes Using Natural Language Processing Techniques: Observational Study

Jennifer Lee, Samuel Yang, Cynthia Holland-Hall, Emre Sezgin, Manjot Gill, Simon Linwood, Yungui Huang, Jeffrey Hoffman

JMIR Med Inform 2022 (Jun 10); 10(6):e38482

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Error and Timeliness Analysis for Using Machine Learning to Predict Asthma Hospital Visits: Retrospective Cohort Study

Xiaoyi Zhang, Gang Luo

JMIR Med Inform 2022 (Jun 08); 10(6):e38220

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Medication-Wide Association Study Using Electronic Health Record Data of Prescription Medication Exposure and Multifetal Pregnancies: Retrospective Study

Lena Davidson, Silvia P Canelón, Mary Regina Boland

JMIR Med Inform 2022 (Jun 07); 10(6):e32229

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Machine Learning–Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance

Hong Sun, Kristof Depraetere, Laurent Meesseman, Patricia Cabanillas Silva, Ralph Szymanowsky, Janis Fliegenschmidt, Nikolai Hulde, Vera von Dossow, Martijn Vanbiervliet, Jos De Baerdemaeker, Diana M Roccaro-Waldmeyer, Jörg Stieg, Manuel Domínguez Hidalgo, Fried-Michael Dahlweid

J Med Internet Res 2022 (Jun 07); 24(6):e34295

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Noninvasive Diagnosis of Nonalcoholic Steatohepatitis and Advanced Liver Fibrosis Using Machine Learning Methods: Comparative Study With Existing Quantitative Risk Scores

Yonghui Wu, Xi Yang, Heather L Morris, Matthew J Gurka, Elizabeth A Shenkman, Kenneth Cusi, Fernando Bril, William T Donahoo

JMIR Med Inform 2022 (Jun 06); 10(6):e36997

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The Classification of Abnormal Hand Movement to Aid in Autism Detection: Machine Learning Study

Anish Lakkapragada, Aaron Kline, Onur Cezmi Mutlu, Kelley Paskov, Brianna Chrisman, Nathaniel Stockham, Peter Washington, Dennis Paul Wall

JMIR Biomed Eng 2022 (Jun 06); 7(1):e33771

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Predicting Abnormal Laboratory Blood Test Results in the Intensive Care Unit Using Novel Features Based on Information Theory and Historical Conditional Probability: Observational Study

Camilo E Valderrama, Daniel J Niven, Henry T Stelfox, Joon Lee

JMIR Med Inform 2022 (Jun 03); 10(6):e35250

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